Empower HR by Weaponizing it with Data Analytics
Data is helping the world advance in many ways, so why shouldn’t it benefit the world of Human Resource Management? This led XLRI Jamshedpur to formulate this futuristic course in Human Resource Analytics.
This program from XLRI has been designed to introduce participants to the concepts of HR Analytics and familiarize them with different dimensions like descriptive analytics, predictive analytics and prescriptive analytics. The course intends to help participants become proficient in:
- Descriptive HR Analytics: Developing and modifying various HR metrics including proprietary metrics relevant to the organization
- Predictive HR Analytics: Making predictions about various people management decisions based on existing data, or newly developed proprietary metrics
- Prescriptive HR Analytics: Making suggestions for future people management decisions, based on the analytics, and ensuring optimum use of investments in human assets
This course is designed for participants who may not be proficient in maths/statistics. Illustrations will be done using SPSS primarily and through MS Excel initially. This course will help professionals use analytics as a tool to develop a deeper understanding of data and people management and find appropriate solutions to real life people challenges.
Certificate of Completion from XLRI
Opportunity to earn a Certificate of Completion in HR Analytics from XLRI – the best HR institution in India
Work on Real-Time projects in your organization
Opportunity to work on a real time project, based on the needs identified within your own organization and make private project presentations to XLRI faculty if working on confidential projects
Learn to Make Better People Management Decisions
Learn to utilize HR analytics in making better people management decisions in everyday work scenarios
Statistical Insights Through SPSS
Gain exposure to using SPSS through in-class illustrations
Unique opportunity to get into academic partnership
Opportunity to work on XLRI faculty mentored analytic projects for limited number of candidates, who are willing to get into an academic partnership /publication
Flexibility to Choose from Various Analytical Packages
Flexibility granted to participants to use analytical packages they are comfortable with, such as SAS, Stata, R, MPlus, and MS Excel with Add-ons etc.
Who Should Attend
- For Indian Participants – Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline
- For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country
- No prior knowledge of mathematics or statistics required
- HR professionals with a minimum of 2 years of work experience in the field of HR
- Non-HR professionals should have a minimum of 5 years of overall work experience
Prof. Gloryson R B Chalil
Dr. Gloryson R B Chalil, a Fellow from IIM Bangalore teaches electives such as Strategic HRM, Organizational Change and Development, and other core courses at XLRI. He worked in three different sectors (Agriculture, Manufacturing and IT) as the in-charge of the HR department, and is also involved in various consulting assignments with government and corporate sectors.
As one of the pioneers in evidence-based decision making in HR function, Dr. Chalil is offering Management Development Programs in People Analytics at XLRI since 2014. Thousands of HR professionals learned the basics of HR analytics from him through various certification programs, corporate training programs and conferences, and contributing towards a data-based decision making in organizations such as RBI, NTPC, IOC, PowerGrid and various other top private sector firms.
Participants will be awarded a certificate of completion post the payment of all due fees, and upon satisfying the requisite attendance criteria of 75% & clearing the evaluation criteria.
Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a certificate of participation.
Live & Interactive Digital Learning
Live tutored classes not recorded sessions
Scheduled classes at convenient timings for working professionals
One on one interactions
All classes are delivered live by the eminent faculty encouraging interactive discussions and query resolution
Case study learning
Hands-on learning using case studies, projects and simulations
Be a part of rich Alumni Network
Interactive live sessions with industry stalwarts
Dedicated Career Advancement Services Team
Leverage innovative strategies for high career growth from Right Management (a ManpowerGroup company)
The primary method of instruction will be through LIVE lectures that will be beamed online via Internet to student desktops/laptops or classrooms. The pedagogy will comprise live lectures, case studies, analytical exercises, experiential evaluation, live project presentations and feedback in small groups, imparted and facilitated by XLRI’s faculty. Concepts will be explained using examples drawn from real-life organizational situations.
This program focuses on analytics, rather than statistics, and anyone without statistics/mathematics background is encouraged to apply for the program. While all critical analysis are demonstrated during the program using SPSS, participants are also given YouTube video links to refer to statistical analysis in detail, and gain expertise at their comfort. Participants are free to use any statistical tool (including MS Excel with some add-ons) of their choice, while in-class demonstrations are mostly based on SPSS.
Depending on the comfort level and preference of the entire batch during initial modules, an integrated approach may be followed for modules 3 & 4, wherein analytical processes are typically presented with increasing levels of complexities. Based on the data collected from participants, the time and exposure to various themes mentioned in the syllabus above, may get modified to improve the value for the entire batch.
All enrolled students will also be provided access to the Cloud Campus through which students may access other learning aids, reference materials and assessments, case studies, projects and assignments as appropriate. Throughout the duration of the course, students will have the flexibility to reach out to the professors, real-time during the class or offline via the Cloud Campus to raise questions and clear their doubts. Assignments are provided for most of the important topics for experiential learning, and participants are expected to clarify doubts and concerns faced, while completing the assignments during the initial stages of the next session itself, in order to facilitate timely and systematic learning.
A minimum of 75% attendance to the LIVE lectures is a prerequisite for the successful completion of this program. There are periodic evaluations built-in throughout the duration of the course. These maybe in the form of a quiz, experiential assignment, project, case studies or other objective/subjective assessments. The evaluations are designed to ensure continuous student engagement with the course and encourage learning. The main objective of the assignment and projects will be to help participants apply their conceptual learning from the program to actual organizational decision-making scenarios.
Participants are expected to choose an analytics’ theme, relevant to their work context and ensure access to required data for analysis. Participants will need to implement HR analytics process discussed during the program though a 30-minute presentation, and demonstrate the ability to address various stakeholder concerns as a part of the final project. In order to continue both their individual and organizational journey towards HR analytics, interested participants will receive feedback and suggestions for improvement, from the faculty and other participants (for another 20-30 minutes).
Passing qualification for the program will be based on
(a) Attendance requirement
(b) Mandatory number of experiential assignment submissions and
(c) Project submission
Participants who successfully complete the same will be awarded a ‘Certificate of Completion’ by XLRI. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a ‘Certificate of Participation’ by XLRI.
XLRI is one of India’s leading management school based in Jamshedpur, Jharkhand, India. Established in 1949 as the Xavier Labor Relations Institute, by Fr. Quinn Enright, XLRI is acknowledged as India’s oldest business management school.
XLRI with its single vision of Magis, i.e., pursuit of excellence, focuses on three areas: academic excellence, personal values and social concern. XLRI spares no effort to make its curriculum world-class and deliver it in the most effective manner. It constantly scans the developments in business and in society and tries to pro-act to meet the challenges. Its world-class faculty with its commitment and deep sense of service delivers the curriculum very effectively.
Consistently being acknowledged as the Best “HR Course” in Asia–Pacific, it has also been recognized for its research acumen by the London Business School and is ranked among top 5 research schools in India cutting across management and technical institutes. For more details, visit www.xlri.ac.in
XLRI features consistently among the top 5 business schools of the country. In 2012 XLRI was ranked No. 4 among top 75 B-schools in India across Private and Government sector by Outlook India. Among other rankings, it was ranked #5 by the 2012 edition of CNBC-TV18′ s Top B-Schools in India, #4 by the Business Today 50 best business schools of 2012, #3 by Business World B Schools Unplugged.
This module will help you understand the domain of HR analytics and the process of implementing HR analytics in context of evolving HR technologies. For example, how will you identify the concerns related to scheduled meetings in your organization (duration, effectiveness, challenges etc.) and make an evidence-based decision through a people analytics process. This module will also help you learn the basics of designing an appropriate HR analytics project for your experience and exposure.
- Evidence-based Approach
- HR Analytics Continuum
- HR Analytic Process: Designing a Project
This module focuses on the process of capturing relevant data for HR analytics. We will focus on questions such as, the existing and potential sources of relevant data, data cleaning processes, types of metrics, and the process of developing customized proprietary metric for your organization. For illustrations, you will consider the availability of existing data, pertaining to scheduled meetings in your organization and its reliability, segmentation of the available data and modification of the same, for making business sense in your organizational context.
- Analytical Foundations of HR Measurement
- Bringing HR and Finance together
- Types of HR Metrics
- Developing Proprietary Metrics for your organization/Issues faced
By utilizing basic analytical tools, in this module, you will learn to make predictions about the challenges and outcome of future scheduled meetings in your organization. This module will help you make predictions such as – meetings that may not commence on time, relative contribution of current talent management practices to the delay in closing the meeting, types of meetings that are difficult to manage etc., based on different types of analysis. Discussions will also include qualitative analytical tools – Natural Language Processing.
- Introduction to Predictive Analytics Tools
- Choosing Predictive Analytic Models for Quantitative Data
- Working with Qualitative Data
- Interpreting Predictive Analytics Results
Based on the available predictions, this module will help you make improvements for the chosen HR analytics theme. The focus of the module is not only on optimization but also on customization of the solutions, considering the contextual requirements and limitations associated with. For example, what are the specific precautions you need to take, to increase the effectiveness of the meetings in a conservative organizations wherein, predictive analytics indicate that middle level executives prefer to silently agree with all suggestions by top executives?
Prescriptive analytics in this context will also focus on modifications required in associated HR initiatives to ensure:
(a) free flow of value adding ideas
(b) high engagement levels irrespective of hierarchical levels and
(c) changes in the culture of the organization, to a high performing professional one.
Furthermore, the module will also briefly discuss ONA – Organizational Network Analysis.
- Responding to HR Challenges through Prescriptive Analytics
- Prescriptive Analytics as a Process to Influence Stakeholders
- Contextualized Prescriptions
- Optimization through Prescriptive Analytics
Illustrations of People Analytics from Staffing, Training, Performance Management, Leadership, Organizational Culture, OD interventions, Organizational Structure etc., are covered and discussed across the four modules discussed above.
The program will help you develop analytical capabilities for evidence-based choices such as: Prioritizing various talent management initiatives for your organization, identifying employees with high attrition risk, comparing potential candidates in terms of their future predicted performance, modifying steps in staffing by eliminating ineffective steps & introducing value adding initiatives, the relevance of forced distribution appraisal systems in your organizations, compensation optimization by incorporating employee preferences, culture fit and corrections across various units/departments of your organization etc.
|For Indian Residents||
INR 85,000 + GST
Payment Deadline: 11/03/2021
|For International Students||
Payment Deadline: 11/03/2021
|1st Instalment||2nd Instalment||3rd Instalment|
INR 30,000 + GST
Payment Deadline: 11/03/2021
INR 25,000 + GST
Payment Deadline: 02/06/2021
INR 30,000 + GST
Payment Deadline: 20/08/2021
All applications for HR course must be made through an Online Application Form.
In case payment is being made online through Credit Card/Debit Card, please ensure that you have the Credit Card/Debit Card with you at the time of filling out the Application Form. If you have opted to pay the Application Fee/Instalments of the Fee through Demand Draft/Pay Orders, then please ensure that the Demand Draft/Pay Orders for the applicable amount is made favoring “XLRI Jamshedpur” payable at Jamshedpur and is sent to the address provided below along with the downloaded copy of your Application Form. Please ensure that you write your Name, REGID, Course Name (which is EDPHRM) and Contact number at the back of your Demand Draft/Pay Order.
All Demand Draft/Pay Orders along with a downloaded copy of your Application Form must be sent to.
Student Relations Manager,
21, Institutional Area, Sector 32,
Gurgaon 122001, Haryana, INDIA.
The course fee is payable in instalments as per the instalment schedule provided. In the event of late payment of Instalment 1 or any other subsequent Instalments, a Late Fee is leviable as follows.
- A Late fee of INR 1000 + GST will be charged to the Participant, if the instalment is paid within 7 days from the due date published on the instalment schedule.
- A Late fee of INR 2500 + GST will be charged to the Participant, if the instalment is paid between 8 days from the due date to within 14 days from due date as published on the instalment schedule.
- If the Fee Instalment is not received within 14 days from the due date, then the Participant shall be considered a dropout and a Rejoining Fee of INR 5000 + GST will be charged to the Participant if the Participant wishes to continue with and complete the course and rejoining can be accommodated as per course guidelines.
Cancellation by the Participant
- Requests for refund of fees on account of cancellation of enrolment shall be considered only if such requests are received prior to closure of registration or 21 days before date of course commencement whichever is earlier.
- In event that such valid requests for refund of fees are received, the application money shall be refunded after deducting a penalty of Rs.5000 and applicable taxes and GST for instalment(s) paid for Indian participants & USD 125 for foreign participants.
- In all other cases, no refund shall be made.
- A participant may opt for rescheduling to a later batch of the same course / another course of prior to commencement of the course. However, such intimation must be made by the participant at least fifteen days prior to the commencement of the course. The amounts paid by the participant shall be considered as advance payment towards the next batch / alternative course. Further, the participant shall have to pay an administrative charge of INR 5000 plus applicable taxes (Indian participants) or USD 125 (foreign participants) for facilitating such rescheduling.
Cancellation by Talentedge & Institute
Talentedge & the Institute, reserve the right to cancel courses at any time owing to reasons like insufficient enrolments, trainer indisposition or force majeure events. In the event that Talentedge or the Institute cancels a scheduled course, the student will receive full fee refund for the same. All refunds will be processed within 30 days of receipt of a valid refund request.
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